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dc.contributor.authorMertes, Jordan R.
dc.contributor.authorGulley, Jason D.
dc.contributor.authorBenn, Douglas I.
dc.contributor.authorThompson, Sarah S.
dc.contributor.authorNicholson, Lindsey I.
dc.date.accessioned2018-07-20T23:34:24Z
dc.date.available2018-07-20T23:34:24Z
dc.date.issued2017-11
dc.identifier250288885
dc.identifier70b26d90-f0f6-418a-b887-15ce122dc6cd
dc.identifier85032677968
dc.identifier000414348200010
dc.identifier.citationMertes , J R , Gulley , J D , Benn , D I , Thompson , S S & Nicholson , L I 2017 , ' Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery ' , Earth Surface Processes and Landforms , vol. 42 , no. 14 , pp. 2350-2364 . https://doi.org/10.1002/esp.4188en
dc.identifier.issn1096-9837
dc.identifier.otherBibtex: urn:3089b26de801e8768a952f4c0f9c3a5a
dc.identifier.otherORCID: /0000-0002-3604-0886/work/64697388
dc.identifier.urihttps://hdl.handle.net/10023/15621
dc.descriptionJordan R. Mertes acknowledges funding from Michigan Technological University and The Michigan Technological University 2016 Fall Finishing Fellowship. Lindsey Nicholson is supported by the Austrian Science Fund (FWF) Grant V309-N26.en
dc.description.abstractIncreased resolution and availability of remote sensing products, and advancements in small-scale aerial drone systems, allows observations of glacial changes at unprecedented levels of detail. Software developments, such as Structure from Motion (SfM), now allow users an easy and efficient method to generate 3D models and orthoimages from aerial or terrestrial datasets. While these advancements show promise for current and future glacier monitoring, many regions still suffer a lack of observations from earlier time periods. We report on the use of SfM to extract spatial information from various historic imagery sources. We focus on three geographic regions, the European Alps, High-Arctic Norway and the Nepal Himalaya. We used terrestrial field photos from 1896, high oblique aerial photos from 1936 and aerial handheld photos from 1978 to generate DEMs and orthophotos of the Rhone glacier, Brøggerhalvøya and the lower Khumbu glacier, respectively. Our analysis shows that applying SfM to historic imagery can generate high quality models using only ground control points. Limited camera/orientation information was largely reproduced using self-calibrated model data. Using these data, we calculated mean ground sampling distances across each site which demonstrates the high potential resolution of resulting models. Vertical errors for our models are ±5.4 m, ±5.2 m and ±3.3 m. Differencing shows similar patterns of thinning at lower Rhone (European Alps) and Brøggerhalvøya (Norway) glaciers, which have mean thinning rates of 0.31 m a-1 (1896-2010) to 0.86 m a-1 (1936-2010) respectively. On these clean ice glaciers thinning is highest in the terminus region and decreasing upglacier. In contrast to these glaciers, uneven topography, exposed ice-cliffs and debris cover on the Khumbu glacier create a highly variable spatial distribution of thinning. The mean thinning rate for the Khumbu study area was found to be 0.54±0.9 m a-1 (1978-2015).
dc.format.extent3412274
dc.language.isoeng
dc.relation.ispartofEarth Surface Processes and Landformsen
dc.subjectStructure-from-motionen
dc.subjectHistoric imageryen
dc.subjectDemen
dc.subjectGlacier changeen
dc.subjectLong termen
dc.subjectQE Geologyen
dc.subject3rd-DASen
dc.subject.lccQEen
dc.titleUsing structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imageryen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.identifier.doi10.1002/esp.4188
dc.description.statusPeer revieweden
dc.date.embargoedUntil2018-07-20


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